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Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation

https://doi.org/10.1145/3425501
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-09584-4_17openalex-snapshot
MOI-MBO: Multiobjective Infill for Parallel Model-Based Optimization
inferredcites →https://doi.org/10.1007/978-3-319-67988-4_14openalex-snapshot
Simple Intuitive Multi-objective ParalLElization of Efficient Global Optimization: SIMPLE-EGO
inferredcites →https://doi.org/10.1007/978-3-319-69710-9_11openalex-snapshot
Multi-point Efficient Global Optimization Using Niching Evolution Strategy
inferredcites →https://doi.org/10.1007/978-3-319-99259-4_24openalex-snapshot
A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics
inferredcites →https://doi.org/10.1007/978-3-642-16111-7_23openalex-snapshot
Adaptive ε-Greedy Exploration in Reinforcement Learning Based on Value Differences
inferredcites →https://doi.org/10.1007/978-3-662-43505-2_56openalex-snapshot
How to Create Generalizable Results
inferredcites →https://doi.org/10.1007/s10898-004-6733-1openalex-snapshot
On the Design of Optimization Strategies Based on Global Response Surface Approximation Models
inferredcites →https://doi.org/10.1007/s10898-014-0210-2openalex-snapshot
A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization
inferredcites →https://doi.org/10.1007/s10898-018-0622-5openalex-snapshot
Bi-objective decision making in global optimization based on statistical models
inferredcites →https://doi.org/10.1016/0196-8858(85)90002-8openalex-snapshot
Asymptotically efficient adaptive allocation rules
inferredcites →https://doi.org/10.1023/a:1008306431147openalex-snapshot
Efficient Global Optimization of Expensive Black-Box Functions
inferredcites →https://doi.org/10.1023/a:1012771025575openalex-snapshot
A Taxonomy of Global Optimization Methods Based on Response Surfaces
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1080/00401706.1979.10489755openalex-snapshot
Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
inferredcites →https://doi.org/10.1080/00401706.2000.10485979openalex-snapshot
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
inferredcites →https://doi.org/10.1080/10618562.2019.1683165openalex-snapshot
Automated shape optimisation of a plane asymmetric diffuser using combined Computational Fluid Dynamic simulations and multi-objective Bayesian methodology
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/iros.2018.8594027openalex-snapshot
Active Model Learning and Diverse Action Sampling for Task and Motion Planning
inferredcites →https://doi.org/10.1109/jproc.2015.2494218openalex-snapshot
Taking the Human Out of the Loop: A Review of Bayesian Optimization
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1115/1.3653121openalex-snapshot
A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise
inferredcites →https://doi.org/10.1137/0916069openalex-snapshot
A Limited Memory Algorithm for Bound Constrained Optimization
inferredcites →https://doi.org/10.1162/evco_a_00061openalex-snapshot
On the Effect of Response Transformations in Sequential Parameter Optimization
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.2307/1271432openalex-snapshot
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
inferredcites →https://doi.org/10.2307/4615733openalex-snapshot
A Simple Sequentially Rejective Multiple Test Procedure
inferredcites →https://doi.org/10.2514/4.479557openalex-snapshot
Engineering Design via Surrogate Modelling: A Practical Guide
inferredcites →https://doi.org/10.48550/arxiv.1101.3501openalex-snapshot
Convergence rates of efficient global optimization algorithms
inferredcites →https://doi.org/10.48550/arxiv.1206.2944openalex-snapshot
Practical Bayesian Optimization of Machine Learning Algorithms
inferredcites →https://doi.org/10.48550/arxiv.1406.7758openalex-snapshot
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters
inferredcites →https://doi.org/10.48550/arxiv.1510.06299openalex-snapshot
GLASSES: Relieving The Myopia Of Bayesian Optimisation
inferredcites →https://doi.org/10.48550/arxiv.1703.01968openalex-snapshot
Max-value Entropy Search for Efficient Bayesian Optimization
inferredcites →https://doi.org/10.48550/arxiv.1910.06403openalex-snapshot
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
inferredcites →https://doi.org/10.5281/zenodo.6487416openalex-snapshot
A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II
inferredcites →https://doi.org/10.7939/r3-379f-gw15openalex-snapshot
Practical Bayesian optimization

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inferred← citeshttps://doi.org/10.2139/ssrn.4872088openalex-extracted
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inferred← citeshttps://doi.org/10.1002/cctc.202400777openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/cem.3383openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/cpe.8051openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/widm.1484openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-24866-5_18openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-30609-9_2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-47715-7_29openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-47958-8_8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-62836-8_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-70068-2_21openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-75623-8_7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-78401-9_2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-96255-4_32openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-09156-7_8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-38407-2_34openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-19-5170-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00158-021-02977-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00158-023-03607-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00397-023-01397-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10472-022-09807-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10489-023-04695-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10489-025-06706-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10589-025-00696-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10845-025-02632-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-024-01436-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12204-026-2951-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12652-021-03547-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-15274-0.50348-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113728openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cej.2025.164693openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ceja.2025.100929openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cherd.2026.07.035openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cma.2026.118849openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.commatsci.2025.113780openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compchemeng.2024.108624openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cor.2024.106619openalex-snapshot
Dynamic Exploration–Exploitation Pareto Approach for high-dimensional expensive black-box optimization
inferred← citeshttps://doi.org/10.1016/j.ejor.2022.08.032openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2026.141725openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.euromechsol.2023.105180openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2025.107984openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ifacol.2022.07.428openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2022.07.162openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jcomc.2025.100630openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpowsour.2026.239763openalex-snapshot
Region-aware cross-condition electrochemical parameter identification of high-capacity lithium-ion battery through sequential global–local optimization
inferred← citeshttps://doi.org/10.1016/j.jsv.2023.117701openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112186openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114971openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.mfglet.2024.09.157openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112140openalex-snapshot
Efficient greedy optimization method for k-means
inferred← citeshttps://doi.org/10.1016/j.softx.2022.101019openalex-snapshot
BOXVIA: Bayesian optimization executable and visualizable application
inferred← citeshttps://doi.org/10.1016/j.swevo.2022.101183openalex-snapshot
A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement
inferred← citeshttps://doi.org/10.1016/j.swevo.2025.102232openalex-snapshot
Surrogate-assisted evolutionary algorithm with adaptive local region search for high-dimensional expensive multi-objective optimization problems
inferred← citeshttps://doi.org/10.1021/acs.langmuir.5c03414openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acsomega.2c05234openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acsomega.5c08850openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acsomega.6c07482openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41598-025-18632-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1063/5.0287470openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/00401706.2025.2573228openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/09593330.2025.2519962openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/17452759.2026.2686064openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/24725854.2022.2089785openalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1361-651x/ad4d0dopenalex-snapshot
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inferred← citeshttps://doi.org/10.1088/1741-2552/ade189openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ase63991.2025.00126openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cec45853.2021.9504899openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cec60901.2024.10612072openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccc56324.2022.10065681openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccea58433.2023.10135382openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icnc-fskd59587.2023.10280812openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892219openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tevc.2022.3163843openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tevc.2023.3237605openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tevc.2024.3376733openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tii.2025.3593913openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tits.2023.3241069openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsmc.2023.3257030openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/wsc52266.2021.9715413openalex-snapshot
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inferred← citeshttps://doi.org/10.1115/1.4066858openalex-snapshot
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inferred← citeshttps://doi.org/10.1137/23m1578371openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3377929.3398118openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3377930.3389816openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3449726.3463164openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3512290.3528769openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3512290.3528814openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3583133.3590753openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3583133.3596374openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3637065openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3638530.3664189openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3674152openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3712255.3734239openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3712255.3734308openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3716504openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3721296openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3816145openalex-snapshot
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inferred← citeshttps://doi.org/10.1364/oe.492160openalex-snapshot
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inferred← citeshttps://doi.org/10.1609/aaai.v39i25.34909openalex-snapshot
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inferred← citeshttps://doi.org/10.1613/jair.1.16868openalex-snapshot
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inferred← citeshttps://doi.org/10.17929/tqs.10.8openalex-snapshot
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inferred← citeshttps://doi.org/10.23919/ntca68808.2026.11524165openalex-snapshot
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inferred← citeshttps://doi.org/10.2514/1.j060225openalex-snapshot
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inferred← citeshttps://doi.org/10.2514/1.j063812openalex-snapshot
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inferred← citeshttps://doi.org/10.26434/chemrxiv-2024-m9sk0openalex-snapshot
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inferred← citeshttps://doi.org/10.26434/chemrxiv-2024-m9sk0-v2openalex-snapshot
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inferred← citeshttps://doi.org/10.26434/chemrxiv-2024-m9sk0-v3openalex-snapshot
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inferred← citeshttps://doi.org/10.26434/chemrxiv-2024-m9sk0-v4openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/fmtec.2025.1614335openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/appliedmath5030104openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/bdcc6040155openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/e26121117openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en15218030openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math11143067openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math11153364openalex-snapshot
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inferred← citeshttps://doi.org/10.34133/research.0646openalex-snapshot
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inferred← citeshttps://doi.org/10.36227/techrxiv.170779851.17906195/v1openalex-snapshot
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inferred← citeshttps://doi.org/10.36227/techrxiv.170779851.17906195/v2openalex-snapshot
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inferred← citeshttps://doi.org/10.36227/techrxiv.18999767openalex-snapshot
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inferred← citeshttps://doi.org/10.36227/techrxiv.18999767.v1openalex-snapshot
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inferred← citeshttps://doi.org/10.3934/math.2026898openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2004.08349openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2107.08761openalex-snapshot
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inferred← citeshttps://doi.org/10.64898/2025.12.30.697057openalex-snapshot
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inferred← citeshttps://doi.org/10.70675/ecd45e8ez5642z49a6za7b4z0a8eb234a1d0openalex-snapshot
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